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A genetic algorithm for project scheduling with multi-modes and renewable resources

dc.contributor.authorMagalhães-Mendes, J.
dc.date.accessioned2014-03-17T16:26:36Z
dc.date.available2014-03-17T16:26:36Z
dc.date.issued2010
dc.description.abstractThis paper presents a genetic algorithm-based approach for project scheduling with multi-modes and renewable resources. In this problem activities of the project may be executed in more than one operating mode and renewable resource constraints are imposed. The objective function is the minimization of the project completion time. The idea of this approach is integrating a genetic algorithm with a schedule generation scheme. This study also proposes applying a local search procedure trying to yield a better solution when the genetic algorithm and the schedule generation scheme obtain a solution. The experimental results show that this algorithm is an effective method for solving this problem.por
dc.identifier.isbn978-960-474-252-3
dc.identifier.urihttp://hdl.handle.net/10400.22/4226
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherACMpor
dc.relation.ispartofseriesWorld Scientific and Engineering Academy and Society (WSEAS);
dc.relation.publisherversionhttp://dl.acm.org/citation.cfm?id=1965708por
dc.titleA genetic algorithm for project scheduling with multi-modes and renewable resourcespor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage206por
oaire.citation.startPage201por
oaire.citation.titleWorld Scientific and Engineering Academy and Society (WSEAS)por
rcaap.rightsclosedAccesspor
rcaap.typearticlepor

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